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Canberra, Australia

Bradhurst R.A.,University of New England of Australia | Roche S.E.,Animal Health Policy Branch | East I.J.,Animal Health Policy Branch | Kwan P.,University of New England of Australia | Garner M.G.,Animal Health Policy Branch
Environmental Modelling and Software | Year: 2016

Agent-based models (ABMs) are well suited to representing the spatiotemporal spread and control of disease in a population. The explicit modelling of individuals in a large population, however, can be computationally intensive, especially when models are stochastic and/or spatially-explicit. Large-scale ABMs often require a highly parallel platform such as a high-performance computing cluster, which tends to confine their utility to university, defence and scientific research environments. This poses a challenge for those interested in modelling the spread of disease on a large scale with access only to modest hardware platforms.The Australian Animal DISease (AADIS) model is a spatiotemporal ABM of livestock disease spread and control. The AADIS ABM is able to complete complex national-scale simulations of disease spread and control on a personal computer. Computational efficiency is achieved through a hybrid model architecture that embeds equation-based models inside herd agents, an asynchronous software architecture, and a grid-based spatial indexing scheme. © 2015 Elsevier Ltd. Source

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